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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
30,390 ratings

About the Course

In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. By the end, you will be able to build and train Recurrent Neural Networks (RNNs) and commonly-used variants such as GRUs and LSTMs; apply RNNs to Character-level Language Modeling; gain experience with natural language processing and Word Embeddings; and use HuggingFace tokenizers and transformer models to solve different NLP tasks such as NER and Question Answering. The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career....

Top reviews

AM

Jun 30, 2019

The course is very good and has taught me the all the important concepts required to build a sequence model. The assignments are also very neatly and precisely designed for the real world application.

WK

Mar 13, 2018

I was really happy because I could learn deep learning from Andrew Ng.

The lectures were fantastic and amazing.

I was able to catch really important concepts of sequence models.

Thanks a lot!

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1251 - 1275 of 3,694 Reviews for Sequence Models

By Paolo B

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Mar 13, 2023

An in depth introduction to sequence neural network for natual language processing!

By Tuong L

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Jul 20, 2022

This course is wonderful. I studied a huge of knowledge after finishing the course.

By Michael R

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Jun 24, 2021

I feel like the world of machine learning really opened up for me with this course.

By bhavik t

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Oct 20, 2020

This course was bit hard for me, but the professor made it very easy to understand.

By 张昊哲

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Jun 11, 2020

The whole specialization really helps a lot. Thanks Andrew and also other teachers!

By Ningchao W

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Nov 17, 2019

If some more advanced models such as self-attention are added will be more helpful.

By Emmanouil K

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Apr 26, 2019

Fantastic course. Ideal place to start your journey using sequence models in Keras!

By Shariq A

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Nov 23, 2018

Thank you Sir for making the course easy and possible for me to learn.Thanks a lot

By Frederic D

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Aug 11, 2018

Sequence models seem a bit harde to understand but a good explanation non the less.

By J A M

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Mar 5, 2018

Very solid conclusion to an already exceptional five-part curriculum. Nicely done!

By Rayeed A

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May 5, 2021

whole specialization has been an extremely rewarding experience. Thank you Andrew!

By Simon T

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May 1, 2021

You learn a lot of really cool algorithms but the pace of the course is very fast.

By pablo a p

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Nov 3, 2020

Andrew's Videos are the best resources on sequence models one can find in the web.

By Vinayak D

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Aug 4, 2020

Great course which explains really complex concepts very simply and effortlessly!!

By Shailesh K

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May 31, 2020

I personally want to meet Andrew NG sir and thank him. such a wonderful experience

By Nackeeran N

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Jul 24, 2019

Easy to follow and the programming excersizes are very useful to learn the details

By Fadel V S

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Jul 5, 2019

Amazing course. Got fantastic insights into the theory and practical parts of NLP!

By Philipp A

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Jun 24, 2019

Great lectures to get an overview over LSTMs, GRUs and Sequence Models in general.

By Mike I

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Jan 31, 2019

Very good for understanding how recurrent neural networks work. Highly recommended

By srikanth m

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Jan 2, 2019

Great course. Sometimes it got tough and boring in between, but good deal to learn

By Mecu M

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Dec 29, 2018

Excellent like the rest of the courses from this specialisation! Thank you Andrew!

By Deepak S

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Feb 20, 2018

Once again great course by Andrew Ng! Makes it very simple and easy to understand.

By Fardeen R

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Jun 10, 2024

Very good course for learning RNNs, GRUs, LSTM, Attention models and Transformers

By Benjamin Y

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Jun 23, 2023

Generative_AI -> Back_to_The_Future :: Deep_Learning_AI_Specialization -> Tenet

:)

By jing h

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Nov 24, 2021

learned a lot from this meaningful and interesting specialization, thanks a lot!